Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add matteotitta/genesys-skills --skill linkedin-profilegit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-profile)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-profile"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-profile/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-profile"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-profile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.02367 |
| Opus 5 | $0.00014 | $0.01184 |
| Sonnet 5 | $0.00006 | $0.00473 |
| Haiku 4.5 | $0.00003 | $0.00237 |
Grade A, and why
linkedin-profile-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Profile Optimization
Audit a client's LinkedIn profile and generate optimized copy for every section — headline, about, banner, experience, featured, recommendations. Combines Apify scraping for structured profile data with user-provided screenshots for visual assessment, then applies proven profile optimization frameworks.
Why this matters: LinkedIn's algorithm reads your entire profile as text context to decide content distribution. A misaligned profile suppresses reach regardless of content quality. This skill ensures profile-content alignment before any content program begins.
Source: Nick Broekema (Content Design) — profile optimization methodology.
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Output complies with output-tenets.md, output-simplicity.md, ai-speak-anti-patterns.md. Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].
Refinements applied: R1 (profile copy is end-customer-facing — no source tags), R3 (headline + about capability-led, never "thrilled to be"), R6 (featured / CTAs → DM or sign-up primary), R9 (verb-led section headings — "What I do / How I help / Who I work with").
Claude Code Triggers
Invoke this skill when user says:
- "Optimize [client name]'s LinkedIn profile"
- "LinkedIn profile audit for [person]"
- "Rewrite [person]'s LinkedIn headline/about/bio"
- "Profile optimization for [client]"
- "Help [name] improve their LinkedIn profile"
- "[Client] needs a better LinkedIn presence"
Do NOT invoke when:
- User wants to write a LinkedIn post → Use
linkedin-expert-posts/linkedin-personal-posts/linkedin-sales-posts - User wants LinkedIn comments → Use
linkedin-comment - User wants a LinkedIn infographic/carousel → Use
linkedin-infographics/linkedin-carousels
Inputs
Required
| Input | Description | Source |
|---|---|---|
| LinkedIn profile | URL or full name + company | User provides |
| ICP description | Who is this profile trying to attract? | User provides or from icp-behavioural |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 213 lines · 98 tokens per session scan A 24df267fbe5e
linkedin-profile-optimization is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 2,367 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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